What are the responsibilities and job description for the Sr. Product Manager (Recommendations) Hot Job San Francisco, California Department position at Lifeattinder?
Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need : real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45 languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe.”
Our Values : One Team, One Dream
We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
Own It
We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
Spark Solutions
We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
The Role :
We are looking for a Senior Product Manager to lead the strategy and execution for Tinder's recommendations ML / AI team. In this critical role, you will drive the enhancement of our recommendation systems, leveraging advanced machine learning algorithms, cutting-edge AI technologies, and sophisticated user behavior modeling to deliver highly personalized experiences for our members. You will be responsible for setting the vision, defining key metrics, and overseeing the development of innovative features that push the boundaries of personalization and engagement.
The ideal candidate will have a technical background in machine learning and AI, product management experience, and a track record of using data-driven insights to drive impactful product improvements. Your expertise in both strategic planning and hands-on execution will be essential in shaping the future of our recommendation systems and ensuring they meet the evolving needs of our global user base.
Where you’ll work :
This is a hybrid role and requires in-office collaboration two times per week. This position is based in San Francisco or Palo Alto, CA.
In this role, you will :
- Develop detailed specifications for large-scale ML / AI driven recommendations features critical to the business, guiding teams through the development process while considering the broader strategic implications of each feature.
- Partner closely with engineering and data science to improve Tinder recommendations.
- Understand markets, ecosystem effects, and user requirements in depth.
- Launch new products and features, test their performance, and iterate quickly.
- Communicate effectively with the broader product team, cross-functional partners, and senior leadership. Clearly articulate project requirements, deadlines, deliverables, and impact for critical initiatives, and achieve stakeholder buy-in.
- Represent the company’s culture and values, and drive inclusivity across teams.
- Utilize data insights and voice of the customer to drive product decisions.
You’ll need :
Nice to have :
As a full-time employee, you’ll enjoy :
Salary Range :
190,000 - $200,000 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education / training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
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Salary : $190,000 - $200,000
